Introduction to Operations Research, Volume 1-- This classic, field-defining text is the market leader in Operations Research -- and it's now updated and expanded to keep professionals a step ahead -- Features 25 new detailed, hands-on case studies added to the end of problem sections -- plus an expanded look at project planning and control with PERT/CPM -- A new, software-packed CD-ROM contains Excel files for examples in related chapters, numerous Excel templates, plus LINDO and LINGO files, along with MPL/CPLEX Software and MPL/CPLEX files, each showing worked-out examples |
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Page 60
Also shown next to F1 → F2 and DC → W2 are the maximum amounts that can
be shipped through these lanes . The other lanes ... Net flow constraint for each
location : Amount shipped out amount shipped in = required amount . As
indicated ...
Also shown next to F1 → F2 and DC → W2 are the maximum amounts that can
be shipped through these lanes . The other lanes ... Net flow constraint for each
location : Amount shipped out amount shipped in = required amount . As
indicated ...
Page 75
1,000 plant balance constraints ( one for each combination of a plant , product ,
and month ) : Amount produced + inventory last month + amount shipped in =
sales + current inventory + amount shipped out , where the amount produced is
the ...
1,000 plant balance constraints ( one for each combination of a plant , product ,
and month ) : Amount produced + inventory last month + amount shipped in =
sales + current inventory + amount shipped out , where the amount produced is
the ...
Page 106
Determine the amount of potatoes and green beans Maria should purchase each
week given this new iron requirement . ( d ) Maria learns that the wholesaler has
a surplus of green beans and is therefore selling the green beans for a lower ...
Determine the amount of potatoes and green beans Maria should purchase each
week given this new iron requirement . ( d ) Maria learns that the wholesaler has
a surplus of green beans and is therefore selling the green beans for a lower ...
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Common terms and phrases
activity additional algorithm alternative amount analysis apply assignment assumed basic variable begin BF solution calculate called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE final flow formulation given gives hour identify illustrate increase indicates initial inventory iteration linear programming machine Maximize mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff plant player possible presented Prob probability problem procedure profit programming problem queueing respectively resulting shown shows side simplex method solution solve step strategy Table tableau tion transportation unit waiting weeks